Lecture notes
These are the slides/notes for some of the lectures I taught. Hopefully you'll find them helpful.
Engineering Probability and Statistics
Hypothesis testing
Additional examples
Image processing
Image representation, sampling and discretization
Image filtering in the spatial domain
Neural Networks
Competitive learning, clustering and self-organizing maps
Math formulas
Useful math formulas and commonly used concepts from calculus.
Accessible as an online page or pdf file.